Search results for " Market microstructure"

showing 10 items of 29 documents

Identification of clusters of investors from their real trading activity in a financial market

2012

We use statistically validated networks, a recently introduced method to validate links in a bipartite system, to identify clusters of investors trading in a financial market. Specifically, we investigate a special database allowing to track the trading activity of individual investors of the stock Nokia. We find that many statistically detected clusters of investors show a very high degree of synchronization in the time when they decide to trade and in the trading action taken. We investigate the composition of these clusters and we find that several of them show an over-expression of specific categories of investors.

Social and Information Networks (cs.SI)FOS: Computer and information sciencesPhysicsPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureBipartite systemFinancial marketFOS: Physical sciencesGeneral Physics and AstronomyNetworkComputer Science - Social and Information NetworksPhysics and Society (physics.soc-ph)tradingComplex networkBipartite systemTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessIdentification (information)big dataSynchronization (computer science)EconometricsNetworks Bipartite systems Financial MarketsFinancial MarketsStock (geology)clustering
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El componente de selección adversa de la horquilla de precios cotizada: una revisión de los modelos de estimación

2005

-Jose.E.Farinos@uv.es -Ana.M.Ibanez@uv.es Una de las principales preocupaciones en el área de la microestructura del mercado ha sido la estimación de los componentes no observables de la horquilla de precios a partir de las series de datos que proporcionan los mercados financieros, despertando quizá un mayor interés el de selección adversa por la implicaciones que supone la existencia del mismo. Esto ha provocado el desarrollo de numerosos modelos empíricos que, basándose en las propiedades estadísticas de las series de precios, proporcionan dichas estimaciones. La mayor disponibilidad de datos existentes en los mercados ha permitido el desarrollo en los últimos años de modelos basados en t…

Microestructura de los mercados financieros; Negociación informada; Horquilla de precios; Selección adversa; Costes de transacciónmarket microstructureselección adversajel:D82spreadinsider tradingFINANCIAL ECONOMICSadverse selection componentG12G34microestructura de los mercados financieros:CIENCIAS ECONÓMICAS::Economía sectorial::Finanzas y seguros [UNESCO]ECONOMICSORGANIZATIONAL BEHAVIOR AND HUMAN RESOURCE MANAGEMENTBUSINESS AND INTERNATIONAL MANAGEMENTUNESCO::CIENCIAS ECONÓMICAS::Economía sectorial::Finanzas y segurosjel:G12jel:G34Costes de transacciónD82MICROECONOMICSmicroestructura de los mercados financieros negociación informada horquilla de precios selección adversa market microstructure insider trading spread adverse selection component transaction costtransaction costhorquilla de preciosINDUSTRIAL RELATIONS AND LABORSTRATEGY AND MANAGEMENTnegociación informada
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A theory for long-memory in supply and demand

2004

Recent empirical studies have demonstrated long-memory in the signs of orders to buy or sell in financial markets [2, 19]. We show how this can be caused by delays in market clearing. Under the common practice of order splitting, large orders are broken up into pieces and executed incrementally. If the size of such large orders is power law distributed, this gives rise to power law decaying autocorrelations in the signs of executed orders. More specifically, we show that if the cumulative distribution of large orders of volume v is proportional to v to the power -alpha and the size of executed orders is constant, the autocorrelation of order signs as a function of the lag tau is asymptotica…

PhysicsPhysics - Physics and SocietyActuarial scienceQuantitative Finance - Trading and Market MicrostructureCumulative distribution functionAutocorrelationFOS: Physical sciencesOrder (ring theory)Physics and Society (physics.soc-ph)Function (mathematics)Trading and Market Microstructure (q-fin.TR)FOS: Economics and businessCombinatoricsCondensed Matter - Other Condensed MatterExecution Commerce optimal liquidationLong memoryDiffusion (business)Constant (mathematics)Other Condensed Matter (cond-mat.other)
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Stock markets and quantum dynamics: A second quantized description

2009

In this paper we continue our description of stock markets in terms of some non-abelian operators which are used to describe the portfolio of the various traders and other observable quantities. After a first prototype model with only two traders, we discuss a more realistic model of market involving an arbitrary number of traders. For both models we find approximated solutions for the time evolution of the portfolio of each trader. In particular, for the more realistic model, we use the stochastic limit approach and a fixed point like approximation. © 2007 Elsevier B.V. All rights reserved

Physics::Physics and SocietyStatistics and ProbabilitySecond quantizationComputer Science::Computer Science and Game TheoryQuantitative Finance - Trading and Market MicrostructureQuantum dynamicQuantum dynamicsTime evolutionObservableStock marketsFixed pointCondensed Matter PhysicsSecond quantizationTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessComputer Science::Multiagent SystemsComputer Science::Computational Engineering Finance and SciencePortfolioStatistical physicsSettore MAT/07 - Fisica MatematicaMathematical economicsStock (geology)MathematicsPhysica A: Statistical Mechanics and its Applications
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Tick size and price diffusion

2010

A tick size is the smallest increment of a security price. It is clear that at the shortest time scale on which individual orders are placed the tick size has a major role which affects where limit orders can be placed, the bid-ask spread, etc. This is the realm of market microstructure and there is a vast literature on the role of tick size on market microstructure. However, tick size can also affect price properties at longer time scales, and relatively less is known about the effect of tick size on the statistical properties of prices. The present paper is divided in two parts. In the first we review the effect of tick size change on the market microstructure and the diffusion properties…

FOS: Economics and businessStatistical Finance (q-fin.ST)Market microstructureEconophysicsFinancial markets Market microstructure Stochastic processes EconophysicsQuantitative Finance - Statistical FinanceFinancial marketStochastic processe
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The limit order book on different time scales

2007

Financial markets can be described on several time scales. We use data from the limit order book of the London Stock Exchange (LSE) to compare how the fluctuation dominated microstructure crosses over to a more systematic global behavior.

FOS: Economics and businessPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureStock exchangePhysics - Data Analysis Statistics and ProbabilityFinancial marketEconomicsEconometricsFOS: Physical sciencesPhysics and Society (physics.soc-ph)Data Analysis Statistics and Probability (physics.data-an)Trading and Market Microstructure (q-fin.TR)
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Modeling the coupled return-spread high frequency dynamics of large tick assets

2015

Large tick assets, i.e. assets where one tick movement is a significant fraction of the price and bid-ask spread is almost always equal to one tick, display a dynamics in which price changes and spread are strongly coupled. We introduce a Markov-switching modeling approach for price change, where the latent Markov process is the transition between spreads. We then use a finite Markov mixture of logit regressions on past squared returns to describe the dependence of the probability of price changes. The model can thus be seen as a Double Chain Markov Model. We show that the model describes the shape of return distribution at different time aggregations, volatility clustering, and the anomalo…

Statistics and ProbabilityComputer Science::Computer Science and Game TheoryVolatility clusteringQuantitative Finance - Trading and Market MicrostructureMarkov chainLogitMarkov processStatistical and Nonlinear PhysicsMarkov modelmodels of financial markets nonlinear dynamics stochastic processesTrading and Market Microstructure (q-fin.TR)FOS: Economics and businesssymbols.namesakesymbolsEconometricsKurtosisFraction (mathematics)Almost surelyStatistics Probability and Uncertainty60J20Mathematics
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Statistical identification with hidden Markov models of large order splitting strategies in an equity market

2010

Large trades in a financial market are usually split into smaller parts and traded incrementally over extended periods of time. We address these large trades as hidden orders. In order to identify and characterize hidden orders we fit hidden Markov models to the time series of the sign of the tick by tick inventory variation of market members of the Spanish Stock Exchange. Our methodology probabilistically detects trading sequences, which are characterized by a net majority of buy or sell transactions. We interpret these patches of sequential buying or selling transactions as proxies of the traded hidden orders. We find that the time, volume and number of transactions size distributions of …

Quantitative Finance - Trading and Market Microstructuremedia_common.quotation_subjectFinancial marketEquity (finance)General Physics and AstronomyMarket trendAsymmetryTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessStock exchangeEconometricsEconophysics Financial markets Hidden Markov ModelsSegmentationHidden Markov modelmedia_commonMathematics
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Market efficiency and the long-memory of supply and demand: is price impact variable and permanent or fixed and temporary?

2016

In this comment we discuss the problem of reconciling the linear efficiency of price returns with the long-memory of supply and demand. We present new evidence that shows that efficiency is maintained by a liquidity imbalance that co-moves with the imbalance of buyer vs. seller initiated transactions. For example, during a period where there is an excess of buyer initiated transactions, there is also more liquidity for buy orders than sell orders, so that buy orders generate smaller and less frequent price responses than sell orders. At the moment a buy order is placed the transaction sign imbalance tends to dominate, generating a price impact. However, the liquidity imbalance rapidly incre…

SupplyPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureSupply shockMarket demand scheduleMarket clearingCommerceFOS: Physical sciencesPhysics and Society (physics.soc-ph)Trading and Market Microstructure (q-fin.TR)Excess supplySupply and demandFOS: Economics and businessMicroeconomicsExecutionDemand curveEconomicsoptimal liquidationGeneral Economics Econometrics and FinanceFinanceAggregate demand
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Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach.

2016

We investigate the trading behavior of Finnish individual investors trading the stocks selected to compute the OMXH25 index in 2003 by tracking the individual daily investment decisions. We verify that the set of investors is a highly heterogeneous system under many aspects. We introduce a correlation based method that is able to detect a hierarchical structure of the trading profiles of heterogeneous individual investors. We verify that the detected hierarchical structure is highly overlapping with the cluster structure obtained with the approach of statistically validated networks when an appropriate threshold of the hierarchical trees is used. We also show that the combination of the cor…

Index (economics)Computer scienceGeneral MathematicsGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmasFOS: Economics and businessSet (abstract data type)CorrelationIndividual investorsStock exchangeStatistically validated network0103 physical sciencesCluster (physics)Econometrics010306 general physicsStructure (mathematical logic)Quantitative Finance - Trading and Market Microstructureta114EconophysicsApplied Mathematicsta111EconophysicStatistical and Nonlinear PhysicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Trading and Market Microstructure (q-fin.TR)Correlation-based networkInvestment decisionsGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceChaos, Solitons & Fractals
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